期刊
MATERIALS TODAY-PROCEEDINGS
卷 2, 期 4-5, 页码 2648-2653出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.matpr.2015.07.225
关键词
Crack; cracked cantilever beam; natural Frequency; neural-based controller
Over the years damage detection in structures is being given prior attention. For this purpose different newer techniques are being used so far. In this paper, defect in cantilever beam in the form of a transverse crack is being investigated by developing a Neural network based controller. The input parameters to the controller are relative divergence of first three natural frequencies and the output parameters are relative crack depth and relative crack location in dimensionless forms. The rules for the controller are derived from the experimental analysis and a pool of data was created to develop the controller. The validation of the developed model was done to check its effectiveness in predicting the output responses. It was found that the developed neural network based controller can predict the location and depth of the crack in a close proximity as par with the actual results. (C) 2015 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据